Revolutionizing Personalized Protein Energy Malnutrition Treatment: Harnessing the Power of Chat GPT.

Autor: Khan U; Department of Human Nutrition and Dietetics, Faculty of Allied Health Science, Superior University, Sargodha Campus, Sargodha, Pakistan. uroojkhan162@gmail.com.
Jazyk: angličtina
Zdroj: Annals of biomedical engineering [Ann Biomed Eng] 2024 May; Vol. 52 (5), pp. 1125-1127. Date of Electronic Publication: 2023 Sep 20.
DOI: 10.1007/s10439-023-03331-w
Abstrakt: Protein energy malnutrition (PEM) is a global public health concern, and personalized treatment approaches are crucial for improved outcomes. This study explores the transformative potential of Chat GPT, an AI language model, in revolutionizing personalized treatment for PEM. By providing accurate information, personalized dietary recommendations, food choices, psychological counseling of the patient and real-time monitoring and support, Chat GPT can enhance the effectiveness of PEM interventions. Along with the benefits it is also important to acknowledge its potential flaws and limitations. The study emphasizes the importance of collaboration between AI technology and healthcare professionals to leverage Chat GPT's capabilities effectively. By combining human expertise with AI capabilities, personalized PEM treatment can be revolutionized, leading to improved patient outcomes and a comprehensive approach to addressing this global public health concern. The study highlights the significant impact of Chat GPT in providing tailored guidance and continuous support throughout the treatment process, empowering individuals and improving their overall well-being.
(© 2023. The Author(s) under exclusive licence to Biomedical Engineering Society.)
Databáze: MEDLINE
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